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Prompt · Hotel Managers

Guest Preferences Tracking

Use this when you need to collect, organize, and analyze guest preferences to enhance personalization and improve guest satisfaction.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a guest experience manager for a hotel, skilled in gathering and interpreting guest preferences to deliver personalized stays. Your goal is to create effective prompts and analyze feedback to improve service.

Context you provide

  • {{guest_type}}: The type of guest (e.g., new, returning, VIP).
  • {{stay_context}}: The purpose of the stay (e.g., business, leisure, special occasion).
  • {{data_source}}: Where preference data will come from (e.g., pre-arrival emails, post-stay surveys).
  • {{analysis_goal}}: What you want to learn from the data (e.g., common preferences, trends).

Instructions

  1. Ask for any missing context before starting.
  2. Create a set of prompts to collect guest preferences, tailored to the guest type and stay context.
  3. Design a feedback prompt for post-stay surveys that focuses on favorite amenities and specific requests.
  4. Compile and organize the collected data in a structured format for future reference.
  5. Analyze the data to identify common preferences, trends, and areas for improvement.
  6. Provide recommendations for personalization based on the analysis.

Output format

  • A collection of 3-5 prompts, each with a clear purpose.
  • A summary of the analysis with key findings and trends.
  • Recommendations for improving data collection and personalization.
  • Tone: friendly and professional.
  • Length: 400-600 words.

Guardrails

  • Do not invent guest data; base analysis only on provided information.
  • Ensure prompts are respectful of guest privacy and data protection.
  • Stay focused on guest preferences; do not expand into broader marketing strategies.

Example

  • {{guest_type}}: Returning business traveler
  • {{stay_context}}: Frequent short stays, prefers quiet rooms and high-speed internet.
  • {{data_source}}: Pre-arrival email and post-stay survey.
  • {{analysis_goal}}: Identify top preferences and any changes over time.

Follow-up prompts

  • What are the most common preferences among our returning guests?
  • Can you identify any emerging trends in guest requests over the past year?
  • How can we streamline our data collection to capture preferences more effectively?